AWS Lambda Experts in Nuremberg
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Meet FRATCH Experts in Nuremberg, who have recently used AWS Lambda
Michael Gaskin
Last position:
Lead Global eCommerce Operations at PUMAGroup
- Bedrock technology operations role providing the foundations on which PUMA's global product teams build PUMA.com and associated systems
- Managed a €3.5 million CAPEX portfolio including ~20 externals and 16 platform and tooling vendors
- Started up and led five functional teams for platform engineering, cloud administration, edge technology, continuous performance testing, and L2 support / incident management
- Person of last resort for mysteries, intractable bugs, compliance crises, litigation support, and black-hole issues where ownership was unclear or contested
- Sole author and driver of a multi-million-euro, multi-year RFP for Global Operations Center serving the direct-to-consumer technology estate for eCommerce, order management, and brick-and-mortar retail tech support
- Conceived, designed, developed and productionized Order Viewer, a secure internal application providing observability into PUMA.com order data at sub-second latency; independently delivered architecture, implementation, GCP deployment, SSO integration and organizational compliance.
Michael Fecher
Last position:
Freelancer, Solution Architect at Schufa AG
- Helped to design the AWS infrastructure, integrated services and backend architecture for use cases of an on-premise solution and partial migrations to AWS with fast response times
- Implemented automated AWS integration test suites
- Implemented mission-critical components and delivered them before the deadline in a production-ready state with operation and monitoring concepts
- This 2-month subproject was about building a data-intense pipeline (5 TB) to be enriched continuously with data
- Designed and implemented reusable AWS CDK constructs to be used across the company’s teams to enable faster onboarding with AWS
- Coached on AWS topics, distributed software patterns, security, domain-driven design, agile collaboration and documentation to improve performance and collaboration
- Technologies: AWS, GitHub Actions, ETL, monitoring, operations, TypeScript, Python, AWS CDK, CloudFormation, Java, Docker, AWS ECS, AWS Lambda, serverless, Jenkins, DevOps principles
Muntaha Shams
Last position:
AI Engineer (Freelance) at Upwork
- Delivered 40+ AI projects and 23 strategic consultations for international clients (US, Europe, Middle East), achieving a 98% job success rate and building long-term partnerships.
- Developed and deployed production-grade AI solutions in computer vision, NLP, deep learning, and generative AI (LLMs, RAG pipelines, Stable Diffusion, OCR, chatbots), enabling automation and improving client efficiency by up to 70%.
- Designed and fine-tuned large language models (LLMs), including prompt engineering and integration with enterprise knowledge bases, leading to smarter decision-making and reduced manual effort.
- Built real-time computer vision applications (detection, segmentation, OCR) and integrated them into business systems, significantly enhancing accuracy and scalability.
- Consulted startups and enterprises on AI strategy, architecture, and deployment (cloud & on-premise), accelerating product development and reducing time-to-market.
- Managed complete AI project lifecycles (requirements gathering, solution design, deployment, support) in agile, international, and cross-functional environments, ensuring high-quality delivery.
Ekaansh Khosla
Last position:
Master thesis - LLM powered RAG System at Friedrich-Alexander-Universität Erlangen-Nürnberg
- Developed a RAG system to automate student queries with 96% accuracy, built using FastAPI and LangChain and deployed on the university server with Docker.
- Evaluated performance using RAGAS, comparing LLMs (Llama3.3, Llama3.1, GPT-4o-mini), vector embeddings, and various retrieval techniques within the RAG pipeline.
- Technical Skills: Python, FastAPI, Docker, AWS, LangChain, LangSmith, NLP, HTML, CSS
Igor Jakobencsuk
Last position:
Software Engineer - OCPP Charge Point at dezony GmbH
Integrated latest hardware revision including RFID edition and established cloud communication using OCPP1.6
Developed a versatile system for seamless communication, monitoring, and control with various backend solutions to improve user charging experience
Technologies: TypeScript, JavaScript, Node.js, GitLab CI/CD, gRPC, OCPP1.6
Christian Piegert
Last position:
Lead Consultant at masoona Consulting GmbH
Discover over 15,000 top freelancers
Statistics of experts using AWS Lambda
Aggregated from the professional profiles of matched freelancers.
Experience
10 years (Germany: 16 years)
Position duration
1.7 years (Germany: 2.1 years)
Positions per freelancer
7 (Germany: 11)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Automotive, Manufacturing
Certification focus areas
Business Intelligence, Information Technology, Product Development
Bachelor's degree or higher
100% (Germany: 92%)
Master's degree or higher
50% (Germany: 61%)
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Nuremberg are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Nuremberg using AWS Lambda
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Serverless compute
AWS Lambda runs code without server management. Teams use it for API endpoints, event handlers, data processing, and scheduled jobs. It fits workloads that need quick scaling, short execution, and tight integration with AWS services.
Common builds
- REST and webhook backends
- File and stream processing
- Automation for cloud operations
- Event-driven workflows
- Lightweight integrations between AWS services
Lambda often appears in systems built around API Gateway, S3, SQS, SNS, EventBridge, and DynamoDB. In Nuremberg, it is common in product teams that want small, stable services and in internal tools that must react to events quickly.
Tooling and stack
Strong specialists know the runtime, deployment, and observability layer around Lambda. They work with IAM, CloudFormation, SAM, CDK, CloudWatch, X-Ray, and packaging strategies for Python, Node.js, Java, or .NET. They also manage cold starts, memory settings, timeouts, and permissions.
When to hire
Companies bring in freelance AWS Lambda experts when a serverless design is new, unstable, or hard to scale. Typical reasons include slow functions, permission problems, messy event flow, or a need to refactor an existing service into smaller pieces. Clear hands-on support saves time in review, setup, and release work.
What good experts do
Good professionals keep functions small, testable, and focused on one task. They write clean infrastructure as code, add logs and traces, and think through retries, dead-letter handling, and security boundaries. They also explain trade-offs between Lambda, containers, and managed services in plain language.
Delivery in Nuremberg
Remote collaboration works well for most Lambda work because the main tasks are code, cloud setup, and review. On-site support can help when teams in Nuremberg need workshop-style planning, migration sessions, or alignment with security and operations groups. English is often enough, but local teams may prefer experts who can also work in German.
Frequently asked questions
Key details about AWS Lambda, drawn from the questions we get asked most.
AWS Lambda is used to run code in response to events without managing servers. Companies use it for APIs, file triggers, data transforms, scheduled tasks, and automation across AWS. It is a strong fit when the workload is event-driven and does not need a long-running service.
Lambda is better when you want short-lived, event-based execution and less infrastructure work. Containers or EC2 make more sense when you need full control, long-running processes, or custom system dependencies. A good specialist will help choose the right option for each part of the system.
A strong AWS Lambda specialist usually knows IAM, API Gateway, S3, SQS, SNS, EventBridge, CloudWatch, and infrastructure as code tools such as SAM or CDK. They also need solid debugging skills, because many issues show up in permissions, event payloads, or retries rather than in the function code itself.
Simple AWS Lambda tasks can be handled quickly by a focused expert. More complex work, such as event-driven architecture, migration from a monolith, or production troubleshooting, needs someone who has shipped similar systems before. The key is not a title, but proven delivery on live workloads.
Yes, most AWS Lambda work can be done remotely because the main tasks live in code, cloud configuration, and review. On-site sessions in Nuremberg can still help when teams need architecture workshops, security discussions, or a migration kickoff. The right setup depends on how much alignment the project needs.
If AWS Lambda functions are hard to debug, slow to start, failing on retries, or tangled with too many AWS services, it is time to bring in an expert. Other signs are unclear permissions, poor deployment structure, or duplicate business logic spread across many functions. These problems often grow quietly until release day.
Look for an AWS Lambda professional who can explain design choices clearly and show real examples of production work. Strong signs include clean infrastructure as code, careful use of IAM, good observability, and a practical view of when Lambda should not be used. Ask how they handle failures, testing, and rollbacks.
No. AWS Lambda is one part of serverless on AWS, but serverless also includes managed services that often sit around it. A good specialist understands the full event flow, not just the function code, so the system stays reliable and easy to change.
The average hourly rate of freelancers in Nuremberg, Germany who have used AWS Lambda in their recent projects is 99 €, which corresponds to a daily rate of about 788 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used AWS Lambda in their recent projects, 100% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Nuremberg, Germany who have used AWS Lambda in their recent projects have 10 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Nuremberg, Germany who have used AWS Lambda in their recent projects are German (100%), English (100%), and Spanish (17%).
The most common industries among freelancers in Nuremberg, Germany who have used AWS Lambda in their recent projects are Information Technology (83%), Automotive (50%), and Manufacturing (50%).
The most common business areas among freelancers in Nuremberg, Germany who have used AWS Lambda in their recent projects are Information Technology (100%), Product Development (83%), and Business Intelligence (67%).
Main locations of FRATCH Experts, who have recently used AWS Lambda
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg 
Munich 
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Frankfurt 
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